Artificial Intelligence in Biomaterials Design and Development delves into the transformative role of artificial intelligence, particularly machine learning, in creating new biomaterials. Traditional challenges in this field, such as chemical waste, spatial constraints, and inadequate tools, have hindered the swift design and synthesis of versatile biomaterials. Machine learning methods address these barriers by enhancing discovery and development processes, reducing time, costs, and wastage. Generative models now enable the creation of novel molecular structures with desired properties, making inverse materials design a reality. This book is essential for those in materials science, machine learning, and biomedical engineering.
Additionally, this comprehensive resource explores the application of AI in various aspects of biomaterials science, from computational engineering to data science. The book provides insights into how novel machine learning models can expedite materials discovery and improve accuracy. It is an invaluable guide for academics and industry professionals alike, seeking to leverage AI for innovative biomaterials research and development.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xi 7. Editors Note - p. xv 8. Preface - p. xvii 9. Acknowledgment - p. xix 10. 1. The critical role of artificial intelligence in biomaterials design and development - p. 1 11. 2. Datasets and tools in materials science - p. 19 12. 3. Intelligent tools for biomaterials design - p. 45 13. 4. Artificial neural networks for biomaterials development - p. 61 14. 5. From human genome to materials genome - p. 79 15. 6. Artificial intelligence-assisted biomaterials synthesis - p. 97 16. 7. Artificial intelligence-based biomaterials characterization - p. 117 17. 8. Artificial intelligence in drug delivery system development - p. 141 18. 9. Artificial intelligence in vaccine development - p. 185 19. 10. Artificial intelligence in biopolymer design and engineering - p. 225 20. 11. Artificial intelligence in protein science and engineering - p. 251 21. 12. Artificial intelligence-assisted biomaterials for hard tissue implants - p. 277 22. 13. Biomaterials education through artificial intelligence-enabled product-based learning - p. 309 23. 14. Artificial intelligence in prosthodontic biomaterials - p. 367 24. 15. Artificial intelligence applications in electrospinning of biocompatible polymers - p. 381 25. Index - p. 431
Artificial Intelligence in Biomaterials Design and Development delves into the transformative role of artificial intelligence, particularly machine learning, in creating new biomaterials. Traditional challenges in this field, such as chemical waste, spatial constraints, and inadequate tools, have hindered the swift design and synthesis of versatile biomaterials. Machine learning methods address these barriers by enhancing discovery and development processes, reducing time, costs, and wastage. Generative models now enable the creation of novel molecular structures with desired properties, making inverse materials design a reality. This book is essential for those in materials science, machine learning, and biomedical engineering.
Additionally, this comprehensive resource explores the application of AI in various aspects of biomaterials science, from computational engineering to data science. The book provides insights into how novel machine learning models can expedite materials discovery and improve accuracy. It is an invaluable guide for academics and industry professionals alike, seeking to leverage AI for innovative biomaterials research and development.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xi 7. Editors Note - p. xv 8. Preface - p. xvii 9. Acknowledgment - p. xix 10. 1. The critical role of artificial intelligence in biomaterials design and development - p. 1 11. 2. Datasets and tools in materials science - p. 19 12. 3. Intelligent tools for biomaterials design - p. 45 13. 4. Artificial neural networks for biomaterials development - p. 61 14. 5. From human genome to materials genome - p. 79 15. 6. Artificial intelligence-assisted biomaterials synthesis - p. 97 16. 7. Artificial intelligence-based biomaterials characterization - p. 117 17. 8. Artificial intelligence in drug delivery system development - p. 141 18. 9. Artificial intelligence in vaccine development - p. 185 19. 10. Artificial intelligence in biopolymer design and engineering - p. 225 20. 11. Artificial intelligence in protein science and engineering - p. 251 21. 12. Artificial intelligence-assisted biomaterials for hard tissue implants - p. 277 22. 13. Biomaterials education through artificial intelligence-enabled product-based learning - p. 309 23. 14. Artificial intelligence in prosthodontic biomaterials - p. 367 24. 15. Artificial intelligence applications in electrospinning of biocompatible polymers - p. 381 25. Index - p. 431
